eBay Catalog API MCP Server for AI Product Data Retrieval

This n8n workflow transforms the eBay Catalog API into a Model Context Protocol (MCP) compatible server, enabling AI agents to easily search product summaries and retrieve detailed product data using endpoints like GET /product/{epid} and GET /product_summary/search. It uses an MCP Trigger as the entry point, HTTP Request nodes to proxy calls to eBay's API (https://api.ebay.com), and AI expressions with $fromAI() placeholders for dynamic parameter population from agent inputs.

Key benefits include seamless integration without custom coding, automatic handling of path/query parameters, request bodies, headers, and authentication via n8n credentials. Built-in error management ensures robust responses, delivering native eBay JSON structures directly back to AI agents. This saves significant development time for AI-driven e-commerce applications.

Ideal use cases: Power AI agents in Claude Desktop, Cursor, or custom apps for real-time product research, price monitoring, or inventory analysis. Connect via webhook URL for tasks like competitive analysis, recommendation engines, or automated shopping assistants. Perfect for developers building AI-enhanced marketplaces or data extraction pipelines.